#python#agent#ai#aiagent#awesome#chatgpt#hacktoberfest#hacktoberfest2025#llm#long_short_term_memory#memori_ai#memory#memory_management#python#rag#state_management
Memori is an open-source memory engine that gives AI language models human-like memory using standard SQL databases like PostgreSQL, MySQL, or SQLite.[1][2] With just one line of code, you can enable any LLM to remember conversations, learn from interactions, and maintain context across sessions.[1] The key benefits are significant cost savings of 80-90% compared to expensive vector databases, complete data ownership and transparency since memories are stored in SQL databases you control, and zero vendor lock-in allowing you to export and move your data anywhere.[1][3] Memori works with popular frameworks like OpenAI, Anthropic, and LangChain, making it easy to integrate into existing projects without complex setup.[1]
https://github.com/GibsonAI/Memori
#Sentiment notes that the activity of #BTC discussion on social media has risen to a 4-month high, there is a serious panic among the crowd. Such depressive indicators in the moods usually preceded the rebounds.
⚡️ Sentiment notes a decrease in the number of wallets with a non-zero balance 🪙#BTC, which may mean that some participants will enter the cache before the US elections. The experts of #Sentiment consider this development of the situation to be #bullish for #BTC after the elections are held...
#Sentiment notes a sharp rise in bullish sentiment in #Solana
there are rumors that #Apple (#AAPL) is starting to use the Solana — Sentiment blockchain
🤣Ethereum Fear & Greed Index has dropped to 13, signaling Extreme Fear across the market.
市場情緒跌入 極度恐懼區間,代表短期資金風險偏好明顯下降,投資人情緒趨於保守。
#Crypto#以太坊#币圈#区块链
⚡️ 歷史上極度恐懼區域,往往出現在市場接近階段性底部時,但短線波動仍可能持續。
#Ethereum#Markets#Sentiment
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